Biology data test Flashcards
P values and error bars
p <0.05 is significantly different).
p <0.01 is highly significantly different).
p>0.05 is more likely due to chance
error bar overlap is not significantly different
Menhinick Index for Species Richness
To account for sample size sometimes Species richness is also calculated using the Menhinick Index where the number of species (s) is divided by the square root of the number of individuals in the sample (N).
Menhinick Index for Species Richness (D)
=s/√N
Species diversity and species richness
Species diversity is a measurement of species richness and species evenness. Species richness is just the number of species.
Unpaired/ paired
One-tail/two-tail t-tests
Unpaired: different data (e.g. different sites)
One tail: predicted increase
Two tail: predicted change
Simpson’s Diversity Index (SDI)
: N = total number of organisms of all species n = number of organisms of one species)
1-(sum of n(n -1)/(N(N-1)
When comparing species diversity from different areas / ecosystems, the closer the SDI number is to 1, the higher the diversity. The SDI also provides the probability that any two individuals chosen at random and independently from the community will be found to belong to different groups (species).
Symbiosis
Mutualism: association between two or more species where each species benefits.
Commensalism: association between two species in which one species benefits and the other derives neither benefit nor harm. (eg.
Parasitism: an association between species, where one species, (the parasite living on or in another organism) benefits while the other (the host) is harmed. (eg ticks, tapeworms. It also occurs in rainforests. The strangler fig grows competes for water, nutrients and sunlight with a host tree. Typically, the host tree dies, and eventually decomposes, leaving the fig tree standing independently)
Amensalism: an association between two different species in which one is inhibited or destroyed and the other is unaffected (eg. occurs in Australian rainforests. Tall trees reduce the available sunshine at ground level, and numerous plants cannot find adequate light in the shade).
Species Interactions
- Predation
- Competition
- Symbiosis (Mutualism, Commensalism, Parasitism)
- Disease: Temporal and spatial factors will affect how these pathogens or parasites can be spread. Organisms living in close proximity to each other to each other will allow the spread to occur faster. Seasonal variations can also affect the ease at which a pathogen or parasite can be spread.
Abiotic Factors
- Climate: tropics vs poles, or how the microclimate changes as you move from the tide line up the beach
- Substrate: eg at the beach consider sand, rock, wood or soil substrate
- Size/depth of area: comparing the size of different rainforests in two completely different countries, the depth of any aquatic environment, from rock pools to trenches.
- Vary along spatial gradients to produce environmental gradients
- Each species in an environment has a range of abiotic conditions most suitable for its survival and reproduction… Therefore, these gradients are important determinants in patterns of species distribution.
Biotic factors
(i) Intraspecific relationships (same species)
* May increase surviving an attack by a predator
* Compete for limited resources such as food, shelter, water, a mate etc…
(ii) Interspecific relationships (between different species)
* Predation: predator kills prey and eats it
* Competition for limited resources
* Symbiosis: two or more species living closely together for a long time. At least one organism benefits
Surveying techniques
Transects, quadrats, capture-mark-release-recapture
Transects
Line transects:
Strengths: Line transects are good to use as they can be quick and also can be used to collect abiotic data and to visualise change in the distribution of species along gradients.
* Limitations: Line transects do not provide good data on species density (or estimating moving animal population)
Belt transects:
* Strengths: Belt transects allow the collection of abiotic data, species distribution and species density / abundance to be determined across a range of strata along a gradient.
* Limitations: Belt transects are very time consuming and do not provide good data on species density (or estimating moving animal population)
Quadrats
square areas. Strengths: good for estimating the population size / density of stationary organisms (plants, fungi, sedentary animals). Limitations: can be time consuming, can be discrepancies in method used to count organisms (eg. counts vs percentage cover), if randomly placed may not sample all strata well and quadrats are not good for counting moving animals. Smaller quadrats should be used for smaller organisms.
capture-mark-release-recapture
is good for estimating population size.(Use Lincoln Index) Strengths: useful for use with moving animals (in combination with Lincoln index). Limitations: Takes a long period of time to collect data.
Sampling methods
systematic or random sampling
* Systematic sampling is where quadrats placed / data collected at regular intervals along a gradient / transect line.
* Random sampling involves using a numbers generator to randomly position quadrats. The quadrats within each stratum should be randomly placed. (Note: If a stratum represents 10% of the total area studied then 10% of the total quadrats should be used there)
Minimising bias and error
- ensure an appropriate number of samples / quadrats from each stratum,
- ensure samples / quadrats are taken / used randomly (random sampling) eg via a random numbers generator
- ensure counting criteria are identified (eg. via counting individuals or estimating % cover for plants), and data for multiple quadrats in each stratum can be averaged.
- ensure equipment for measuring abiotic factors is calibrated (eg. pH probes) and any measurement error associated with equipment use is identified.